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EventKG+BT: Generation of Interactive Biography Timelines from a Knowledge Graph

  • Simon GottschalkEmail author
  • Elena Demidova
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 12124)

Abstract

Research on notable accomplishments and important events in the life of people of public interest usually requires close reading of long encyclopedic or biographical sources, which is a tedious and time-consuming task. Whereas semantic reference sources, such as the EventKG knowledge graph, provide structured representations of relevant facts, they often include hundreds of events and temporal relations for particular entities. In this paper, we present EventKG+BT – a timeline generation system that creates concise and interactive spatio-temporal representations of biographies from a knowledge graph using distant supervision.

Notes

Acknowledgements

This work was partially funded by the EU Horizon 2020 under MSCA-ITN-2018 “Cleopatra” (812997), and the Federal Ministry of Education and Research, Germany (BMBF) under “Simple-ML” (01IS18054).

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.L3S Research CenterLeibniz Universität HannoverHanoverGermany
  2. 2.Data Science and Intelligent Systems GroupUniversity of BonnBonnGermany

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